31 lines
1.2 KiB
Bash
31 lines
1.2 KiB
Bash
#!/bin/bash
|
|
|
|
# a simple script run stylegan2_pytorch on a linode GPU instance
|
|
|
|
# PLACE=/tmp/neural/
|
|
# mkdir -p $PLACE
|
|
# cd $PLACE
|
|
|
|
echo "using stlyeGAN2..."
|
|
|
|
phrases=("An energetic nomad on a long hike with wooden staff a green leaf and a small dog." "At the beginning of a magical quest for wisdom an animus of a conman hide beneath the table." "A charismatic female figure meditates on the book of flesh in isolation, oval and white." "Fertility of nature in small green leaves, adam's apple, a pyramid and a baby eagle's wing." "The alchemical gold adorns the throne in a powerful house rooted in matter.")
|
|
|
|
echo "cosmic entanglement..."
|
|
|
|
cd /root
|
|
|
|
# transfer learning using ffhq model for sytleGAN2
|
|
|
|
stylegan2_pytorch --name flickr3 \
|
|
--data data/1024x1024 \
|
|
--models_dir models/ffhq-foam \
|
|
--results_dir results/flickr3 \
|
|
--multi-gpus \
|
|
--batch-size 16 --network-capacity 64 \
|
|
--aug-prob 0.25 --attn-layers 1
|
|
|
|
# note in big-sleep.py -> torch,cuda.set_device(1)
|
|
# and/or CUDA_VISIBLE_DEVICES=1,2 python myscript.py
|
|
|
|
|
|
# ffmpeg -r 24 -f image2 -s 1920x1080 -i The_Grand_Evocateur_of_intensity.%d.png -vcodec libx264 -crf 25 -pix_fmt yuv420p The_Grand_Evocateur_of_intensity_m3.mp4
|